RUL is the remaining time or cycles that the machine is likely to operate without any failure. By estimating RUL the operator can decide the frequency of scheduled maintenance and avoid unplanned downtime.
In this DataHour, Jidhu will explain the RUL (Remaining Useful Life) estimation of a machine using sensor data using realistic multivariate time-series data for leveraging the power of deep neural networks in the hands-on. He will also focus on how you can build a DCNN (Deep Convolutional Neural Networks) model for the prediction.
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